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JMLR
2012
13 years 6 months ago
Perturbation based Large Margin Approach for Ranking
We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...
Eunho Yang, Ambuj Tewari, Pradeep D. Ravikumar
163
Voted
UMUAI
1998
157views more  UMUAI 1998»
15 years 3 months ago
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
David W. Albrecht, Ingrid Zukerman, Ann E. Nichols...
KI
2009
Springer
15 years 8 months ago
Beyond Public Announcement Logic: An Alternative Approach to Some AI Puzzles
In the paper we present a dynamic model of knowledge. The model is inspired by public announcement logic and an approach to a puzzle concerning knowledge and communication using th...
Pawel Garbacz, Piotr Kulicki, Marek Lechniak, Robe...
124
Voted
ECAI
2006
Springer
15 years 7 months ago
Elaborating Domain Descriptions
Abstract. In this work we address the problem of elaborating domain descriptions (alias action theories), in particular those that are expressed in dynamic logic. We define a gener...
Andreas Herzig, Laurent Perrussel, Ivan José...
VMV
2008
168views Visualization» more  VMV 2008»
15 years 5 months ago
Integrating robust likelihoods with Monte-Carlo filters for multi-target tracking
In this paper, a dynamic multi-modal fusion scheme for tracking multiple targets with Monte-Carlo filters is presented, with the goal of achieving robustness by combining complime...
Giorgio Panin, Thorsten Röder, Alois Knoll